DocumentCode :
3578494
Title :
Gait pattern-aware displacement estimation in micro-sensor motion capture
Author :
Shengyun Yao ; Yingfei Sun ; Guanhong Tao ; Jiateng Hou ; Lang Wang ; Jiankang Wu
Author_Institution :
Sch. of Electron., Electr. & Commun. Eng., Univ. of Chinese Acad. of Sci., Beijing, China
fYear :
2014
Firstpage :
645
Lastpage :
649
Abstract :
Micro-sensor motion capture (MMocap) systems do not have external references. It is challenging to estimate the displacement of human CoM (Center of Mass). This is especially true when gait pattern changes. This paper presents a novel gait pattern-aware algorithm that aims to estimate the displacement of human CoM during walking and jumping for MMocap systems. Firstly, we fuse the acceleration of sensors and hierarchical information of the body to detect the gait patterns. Secondly, according to the detected patterns, the displacement is adaptively calculated. 1) During walking the displacement is calculated by the extension and flexion angles of the lower body joints. 2) During jumping the displacement is calculated by integrating the acceleration of the root joint. The experimental results have demonstrated that our algorithm estimates the displacements accurately during both walking and jumping.
Keywords :
displacement measurement; gait analysis; microsensors; motion estimation; sensor fusion; MMocap systems; acceleration integration; center of mass; extension angle; flexion angle; gait pattern aware displacement estimation; gait pattern detection; hierarchical information fusion; human CoM; jumping; lower body joints; microsensor motion capture; sensor acceleration fusion; walking; Acceleration; Estimation; Foot; Joints; Legged locomotion; Motion segmentation; Sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Problem-Solving (ICCP), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-4246-6
Type :
conf
DOI :
10.1109/ICCPS.2014.7062367
Filename :
7062367
Link To Document :
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